{"action":"closed","issue":{"url":"https://api.github.com/repos/ayush1997/Xvision/issues/3","repository_url":"https://api.github.com/repos/ayush1997/Xvision","labels_url":"https://api.github.com/repos/ayush1997/Xvision/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/ayush1997/Xvision/issues/3/comments","events_url":"https://api.github.com/repos/ayush1997/Xvision/issues/3/events","html_url":"https://github.com/ayush1997/Xvision/issues/3","id":200036665,"number":3,"title":"Can not run train_model.py","user":{"login":"Eavie","id":12025841,"avatar_url":"https://avatars1.githubusercontent.com/u/12025841?v=4","gravatar_id":"","url":"https://api.github.com/users/Eavie","html_url":"https://github.com/Eavie","followers_url":"https://api.github.com/users/Eavie/followers","following_url":"https://api.github.com/users/Eavie/following{/other_user}","gists_url":"https://api.github.com/users/Eavie/gists{/gist_id}","starred_url":"https://api.github.com/users/Eavie/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Eavie/subscriptions","organizations_url":"https://api.github.com/users/Eavie/orgs","repos_url":"https://api.github.com/users/Eavie/repos","events_url":"https://api.github.com/users/Eavie/events{/privacy}","received_events_url":"https://api.github.com/users/Eavie/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2017-01-11T09:00:35Z","updated_at":"2017-08-02T17:38:18Z","closed_at":"2017-08-02T17:38:18Z","body":"Hello PHD,\r\nI am trying to \r\npython train_model.py <Training images folder> <Train images codes folder> <Training image labels file> <Folder to save models>\r\n\r\nThe problem is :\r\n['DeepLearning/train_model.py', 'final_train_images_calc_nodule_only/', 'train-code/', 'training_labels_calc_nodule_only', 'xx.models']\r\ntrain_labels 177\r\n161\r\nTraceback (most recent call last):\r\n  File \"DeepLearning/train_model.py\", line 174, in <module>\r\n    sess2.run(tf.initialize_all_variables())\r\n\r\nThanks!"}}
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